|
I am a PhD student at the Roy J. Carver Department of Biomedical Engineering,
The University of Iowa, where I work on problems related to medical imaging, specifically lung imaging.
My advisor is Dr. Sarah E. Gerard, PhD and I am a member and graduate
research assistant at her Pulmonary Imaging and Computer Vision (PicV) Lab.
My research interests are in medical imaging, computer vision and machine learning.
Previously, I worked as a Machine Learning Engineer at Rakuten in the sub-domains of object detection (computer vision) and time-series analysis. I was also part of a research project in Spring 2020, led by Prof. Tavpritesh Sethi and Dr. Aditya Nagori, on predicting hemodynamic shock in Intensive Care Units (ICUs). I received my Master's degree in Computer Science & Engineering from IIIT Delhi, India. Email / Google Scholar / GitHub / LinkedIn / CV |
|
|
|
|
|
Nithish Divakar, Wrik Bhadra US Patent & Trademark Office (application #: 17/645,726) [filed Dec 2021] A vision-based automated predictve maintenance system for cellular antenna towers that detects structural damage (bend) in them and alerts concerned authorities. acknowledgment |
|
|
|
|
Aditya Nagori, Pradeep Singh, Sameena Firdos, Vanshika Vats, Arushi Gupta, Harsh Bandhey, Anushtha Kalia, Arjun Sharma, Prakriti Ailavadi, Raghav Awasthi, Wrik Bhadra, Ayushmaan Kaul, Rakesh Lodha, Tavpritesh Sethi AAAS Science Translational Medicine [resubmitted June 2022 - under review] A study on deep learning-based models for predicting hemodynamic shock in ICUs across different geographical contexts and age groups. medRxiv / pdf / code |
|
These include coursework, side projects, reproduced materials and unpublished research work. |
|
Wrik Bhadra, Suraj Pandey, Arjun Tyagi Supervisor: Prof. Mayank Vatsa, IIIT Delhi IIIT Delhi CSE544 (Winter 2019) Given dashboard images of drivers, our system aims to classify the driver on the basis of 10 predefined actions such as texting, speaking on the phone, reaching backwards etc. to detect distraction and alert them. poster / code |
|
|
|
|
Ayush Gupta, Harsh Jain, Wrik Bhadra Supervisor: Prof. Mayank Vatsa, IIIT Delhi IIIT Delhi CSE643 (Monsoon 2018) To overcome smudge attacks and over-the-shoulder snooping in swipe-based unlocking mechanism in smartphones, our system considers the actual haptic gesture and speed for authentication. report / code |
|
Dhruv Kaushik, Shubham Kumar, Wrik Bhadra Supervisor: Prof. Sujay Deb, IIIT Delhi IIIT Delhi CSE511 (Monsoon 2019) An analysis of Denial-of-Service (DoS) attacks on shared cache multi-core systems by varying configurations of Writeback buffer and MSHR buffer and other measures. report / presentation / code |
|
Wrik Bhadra, Dhruv Kaushik, Gurpreet Singh Supervisor: Prof. Richa Singh, IIIT Delhi IIIT Delhi CSE542 (Winter 2019) Revisiting movie recommendation systems by analysing item-based collaborative filtering, wrapper method for feature selection and other relevant techniques such as kNN similarity. poster / report / code |
|
|
|
Rakuten India
Interviewer & Mentor Conducted technical interviews for a prospective full-time and three intern candidates for a separate business unit. Jun 2021 & Mar 2021 Mentored a CS undergrad intern on a project involving application of image processing techniques. Nov 2020 - Jan 2021 |
|
IEEE Student Branch
IISc Bangalore Attended and manned booth on behalf of Rakuten India as tech representative. Feb 2020 certificate |
|
Institute Innovation Council
IIIT Delhi Member 2019 - 2020 |
|
|
|
|
Template courtesy KH Joo, in turn Jon Barron. |